The production and commercial release of Genetically Modified Organisms (GMOs) are currently the focus of important discussions. In order to guarantee the quality and reliability of their trials, companies and institutions working on this subject must adopt new approaches on management, organization and recording of laboratory conditions where field studies are performed. Computational systems for management and storage of laboratory data known as Laboratory Information Management Systems (LIMS) are essential tools to achieve this. In this work, we have used the Flux system -- a workflow based LIMS as a framework to develop the FluxTransgenics system for a GMOs laboratory of EMBRAPA Maize and Sorghum (Sete Lagoas, MG - Brazil). A set of workflows representing all stages of the transgenic maize plants generation has been developed and uploaded in FluxTransgenics. These workflows model the activities involved in maize and sorghum transformation using the Agrobacterium tumefaciens method. The system is currently being used at EMBRAPA in the management of 67 experiments that cover one year of experiments in the Cellular Biology and Plant Tissue Culture Laboratory. From these 67 experiments, 20 transgenic plants have been produced. FluxTransgenics presents a solution for the management of the data produced by a laboratory of genetically modified plants that is efficient and supports different kinds of information. Its adoption will contribute to guarantee the quality of activities and products in the process of transgenic production and enforce the use of Good Laboratory Practices (GLP). The adoption of the transformation protocol associated to the use of FluxTransgenics has made it possible to increase productivity by at least 300%, increasing the efficiency of the experiments from between 0.5 and 1 percent to about 3%. This has been achieved by an increase in the number of experiments performed and a more accurate choice of parameters, all of which have been made possible because it became easier to identify which were the most promising next steps of the experiments. The FluxTransgenics system is available for use by other laboratories, and the workflows that have been developed can be adapted to other contexts.
The FluxTransgenics system can be accessed using the link below. By clicking on it you accept that:
- The LUAR team is not responsible to maintain anonymous data in the system.
- There are no restrictions in the use of the system, but we do not have the resources to store large quantities of data in this installation.
- Similarly, if there is a need to store data you consider private, we can create new users in the system with specific permission accesses.
- We are very interested in hearing about your application of our system. We are also interested in making it available for other workflows,
so we can help you create a new workflow, or teach you how to do it.
Please, contact us if you need to store private data, modifications on the workflow or even in the development of new workflows.
Contact e-mail: email@example.com
Click here to access: FluxTransgenics
To modify the Flux Transgenics workflow you will need to use the Together Workflow Editor. We are not the developers of maintainers of this editor, all information about it can be found at http://sourceforge.net/projects/jawe/.
The Together Workflow Editor can be downloaded at http://sourceforge.net/projects/jawe/files/jawe/3.3-1/
Download the system source code here